1 to 25 of 282 Contract Python Jobs in England

BSc in Computer Science, Software Engineering, or related technical discipline. Experience: Full SDLC experience: design, development, integration, deployment, and maintenance. Proven background in developing automation scripts and tools in Python , Bash , or Go . Familiarity with Agile, Scrum, and Lean methodologies. DevOps & Tooling Proficiency (Preferred) Category Tools & Technologies CI/CD GitLab CI/CD, Jenkins, GitHub Actions, CircleCI, Azure More ❯

Proficient in java versions: JDK 17/21 with strong background OOP concept by working on various stages of System Development Life Cycle. Tech Stack: * Java/J2EE 21, Python, 3.11 Springboot, Micronaut, Dropwizard, GraphQL, API Design. * N-tier, Cloud- native, Server less, Micro service, Event-Driven architecture. * TOGAF 9, Agile, Incremental, Waterfall, TDD, DDD, BDD. * AWS (EC2, ECS, Fargate More ❯

in a Data Engineering role, ideally in the bank sector Strong passion for data and software engineering with a problem-solving mindset Proficiency in technologies such as dbt, SQL, Python, Java, SAS, or other open-source analytics tools Ability to translate complex business requirements into technical solutions Excellent communication and interpersonal skills; able to explain technical concepts to non-technical More ❯

code practices. * Experience with Git, Jenkins, CI/CD pipelines & Terraform. * Strong problem-solving and debugging skills. * Excellent communication and stakeholder management skills. Tech Stack: * Java/J2EE 21, Python, 3.11 Springboot, Micronaut, Dropwizard, GraphQL, API Design. * N-tier, Cloud- native, Server less, Micro service, Event-Driven architecture. * TOGAF 9, Agile, Incremental, Waterfall, TDD, DDD, BDD. * AWS (EC2, ECS, Fargate More ❯

Hands-on experience with Infrastructure as Code (IaC) tools (Terraform, CloudFormation, ARM templates) Proficiency with container technologies like Docker and orchestration (Kubernetes, ECS, AKS, etc.) Strong scripting skills in Python, Bash, or PowerShell Experience with monitoring and logging tools (CloudWatch, Datadog, Prometheus, ELK stack, etc.) Familiarity with CI/CD tools (GitLab CI, Jenkins, GitHub Actions, etc.) The successful candidate More ❯

and reproducibility. Supporting the development of real-time and batch inference pipelines. Contributing to the scalability, efficiency, and reliability of ML infrastructure. KEY SKILLS AND REQUIREMENTS Strong experience in Python, Java, or Scala for backend development. Solid understanding of data processing and engineering workflows. Experience building APIs or services to support data or ML applications. Familiarity with ML model lifecycle More ❯

Proficient in java versions: JDK 17/21 with strong background OOP concept by working on various stages of System Development Life Cycle. Tech Stack: *Java/J2EE 21, Python, 3.11 Springboot, Micronaut, Dropwizard, GraphQL, API Design. *N-tier, Cloud- native, Server less, Micro service, Event-Driven architecture. *TOGAF 9, Agile, Incremental, Waterfall, TDD, DDD, BDD. LA International is a More ❯

ingestion, field extractions, lookup tables, data models, and accelerations . Expertise in integrating various data sources including syslog, APIs, and databases. Experience with Linux/Unix environments and Scripting (Python, Bash, or PowerShell). Familiarity with cloud platforms (AWS, Azure, GCP) and their logging ecosystems. Proven experience in leading complex Splunk projects and client engagements. Preferred Skills: Experience with automation More ❯

a Platform Engineer: Proven experience as a Platform Engineer, DevOps Engineer, or Site Reliability Engineer Strong understanding of cloud platforms (AWS, GCP, or Azure) Proficient in scripting or programming (Python, Go, Bash, etc.) Experience with containerization and orchestration (Docker, Kubernetes) Familiarity with CI/CD systems (GitHub Actions, GitLab CI, Jenkins, etc.) Hands-on experience with infrastructure-as-code tools More ❯

a Platform Engineer: Proven experience as a Platform Engineer, DevOps Engineer, or Site Reliability Engineer Strong understanding of cloud platforms (AWS, GCP, or Azure) Proficient in scripting or programming (Python, Go, Bash, etc.) Experience with containerization and orchestration (Docker, Kubernetes) Familiarity with CI/CD systems (GitHub Actions, GitLab CI, Jenkins, etc.) Hands-on experience with infrastructure-as-code tools More ❯

technical governance and code quality assurance throughout delivery Skills & Experience: Proven experience as a Software Engineer in secure or government environments Strong programming skills in languages such as Java, Python, C#, or C++ Familiarity with DevSecOps tools and pipelines (e.g., GitLab CI/CD, Jenkins, Docker, Kubernetes) Experience in Agile (Scrum) development practices Understanding of cloud platforms (AWS, Azure) and More ❯

Improvement - Champion enhancements to integration architectures and best practices. Skills & Experience Required Experience with workflow orchestration tools (e.g., Apache Airflow). Proven track record in backend development (e.g., Node.js, Python, Java). Strong knowledge of API design, integration methods (REST, Webhooks, GraphQL), and authentication protocols (OAuth2, JWT). Experience with ETL/ELT tools and frameworks. Solid database skills (SQL More ❯

Improvement - Champion enhancements to integration architectures and best practices. Skills & Experience Required Experience with workflow orchestration tools (e.g., Apache Airflow). Proven track record in backend development (e.g., Node.js, Python, Java). Strong knowledge of API design, integration methods (REST, Webhooks, GraphQL), and authentication protocols (OAuth2, JWT). Experience with ETL/ELT tools and frameworks. Solid database skills (SQL More ❯

Python Technical Architect 6 Month contract initially Based: Hybrid - Bradford (Max 3 days p/w onsite) Rate: Market rates (via Umbrella company) We have a great opportunity with a world leading organisation where you will be provided with all of the support and development to succeed. A progressive organisation where you can really make a difference. We have a … great opportunity for a Python Technical Architect. We are looking for a highly skilled Python Technical Architect to lead the design and development of scalable, high-performance applications and solutions. The ideal candidate will have strong technical leadership skills, deep Python expertise, and a passion for designing clean and robust architectures. Key Responsibilities: Architect and design scalable, secure, and robust … risk management. Research emerging technologies and industry trends to keep the system architecture updated. Key Skills & Experience: * Solid experience in software development, with deep experience in Python. * Expertise in Python frameworks like Django, Flask or FastAPI. * Strong understanding of microservices architecture and RESTful APIs. * Proficient in relational and NoSQL databases (e.g., PostgreSQL, MongoDB). * Hands-on experience with cloud platforms More ❯

with scope to explore generative AI applications. Key Skills & Experience: 3+ years in data science/ML engineering roles (retail/e-commerce sector experience is a plus) Strong Python, SQL, and data science toolkit experience Proven track record in deploying end-to-end ML solutions in cloud environments (AWS, Azure, or GCP) Familiarity with MLOps Excellent communication skills and More ❯

Desirable: Experiencewith asynchronousprogramming and messagebrokers (SQS/SNS). Cloudcertifications (AWS/AzureArchitect,TOGAF). Familiaritywith integrationpatterns . Proficiencywith JavaJDK17/21 anddeepunderstandingof systemdevelopmentlifecycle . TechStackIncludes: Java/J2EE,Python,SpringBoot,Micronaut,Dropwizard,GraphQL,Event-DrivenArchitecture,TOGAF9,AWS(EC2,ECS,Lambda,Fargate,RDS,StepFunctions),GCP,Kubernetes/Docker,Terraform,CI/CD,APIGateway,Loggly,Datadog. ThisisanexcitingopportunitytojoinasuccessfulglobalconsultancyonaprojectwithamajorUKretailer. Ifyouhavetherelevantskillsandexperience,pleaseapplypromptlyandwewillbeintouchtodiscussyourapplicationfurther. Pleasenotethatduetothevolumeofapplicationswereceive,itisnotpossibletoprovidefeedbackonallapplicationssoifyouhavenotheardfromuswithin2weeksthenunfortunatelyyouhavebeenunsuccessfulonthisoccasion. More ❯

cloud experience (e.g., AWS, Google Cloud, Azure) * 5 plus years of experience working with CI tools (e.g. Jenkins, GitHub Actions, Azure Pipelines, CircleCI) * 5 plus years of experience with Python, Ruby, JavaScript/Typescript, go * 3 plus years or experience with Container Orchestration (e.g. Kubernetes, Open Shift, Docker More ❯

cloud experience (e.g., AWS, Google Cloud, Azure)* 5 plus years of experience working with CI tools (e.g. Jenkins, GitHub Actions, Azure Pipelines, CircleCI)* 5 plus years of experience with Python, Ruby, JavaScript/Typescript, go* 3 plus years or experience with Container Orchestration (e.g. Kubernetes, Open Shift, Docker More ❯

process involves executing multiple models feeding each other to produce the final business outcome, orchestrate them to run based on the defined dependencies. Define and Maintain the ML Frameworks (Python, R & MATLAB templates) with any common reusable code that might emerge as part of model developments/operationalisation for future models to benefit. Where applicable, capture data drift, concept drift More ❯

security , resilience , and compliance . Essential Skills & Experience: Proven experience as a DevOps Engineer or Automation Engineer in an enterprise environment. Strong skills in automation tools and scripting (e.g., Python, PowerShell, Bash). Hands-on experience with CI/CD tools (e.g., Jenkins, GitLab CI, Azure DevOps). Deep understanding of Infrastructure-as-Code (e.g., Terraform, Ansible). Experience integrating More ❯

the shelf) products integrated within Live systems. Technical skills required: C#/java, .NET Core Containerisation (Docker, Kubernetes, OpenShift) xUnit Agile working practices CI/CD tooling Scripting experience (Python, Perl, Bash, etc.) ELK (Elastic stack) JavaScript Cypress Linux experience Search engine technology (e.g., Elasticsearch) Big Data Technology experience (Hadoop, Spark, Kafka, etc.) Microservice and cloud native architecture Desirable skills More ❯

working closely with developers, engineers, and fellow data experts. What You Bring Proven experience as a Data Scientist in a large-scale or public sector setting. Strong programming skills: Python, R, SQL, and ideally knowledge of Scala, Java, or C++. Deep familiarity with the Microsoft technology stack - including Azure Data Factory, Synapse, Databricks, Power BI, Azure ML. Sound understanding of More ❯

working closely with developers, engineers, and fellow data experts. What You Bring Proven experience as a Data Scientist in a large-scale or public sector setting. Strong programming skills: Python, R, SQL, and ideally knowledge of Scala, Java, or C++. Deep familiarity with the Microsoft technology stack - including Azure Data Factory, Synapse, Databricks, Power BI, Azure ML. Sound understanding of More ❯

of critical systems Worked directly with cybersecurity and compliance teams in regulated deployments Implemented or maintained controls under ISO 27001, NIST, or SOC2 frameworks Technical Skills & Technologies: Languages & Frameworks Python (FastAPI), LangChain, Google AI SDK, Azure Open AI SDK Cloud & AI Platforms GCP: Vertex AI, Gemini API, Cloud Run, GCS, IAM, Secret Manager, Audit Logs Azure: Azure ML, Azure OpenAI More ❯

of critical systems Worked directly with cybersecurity and compliance teams in regulated deployments Implemented or maintained controls under ISO 27001, NIST, or SOC2 frameworks Technical Skills & Technologies: Languages & Frameworks Python (FastAPI), LangChain, Google AI SDK, Azure Open AI SDK Cloud & AI Platforms GCP: Vertex AI, Gemini API, Cloud Run, GCS, IAM, Secret Manager, Audit Logs Azure: Azure ML, Azure OpenAI More ❯